Evidence map›Paper›PMID 42877943›Full record

ArticleFood hydrocolloids2026

Elucidating structure-functionality relationships of phycocyanin through size-exclusion chromatography coupled with in-line small-angle X-ray scattering.

Qike Li, Qingqiu Huang, Alireza Abbaspourrad

Abstract read
In one paragraph

Article in Food hydrocolloids, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Qike LiDepartment of Food Science, College of Agriculture & Life Sciences, Cornell University, Ithaca, NY, 14853, USA.ORCID 0000-0002-8356-5087
Qingqiu HuangMacromolecular Diffraction Facility, Cornell High Energy Synchrotron Source (MacCHESS), Cornell University, Ithaca, NY, 14853, USA.ORCID 0000-0002-3783-3001
Alireza AbbaspourradDepartment of Food Science, College of Agriculture & Life Sciences, Cornell University, Ithaca, NY, 14853, USA.ORCID 0000-0001-5617-9220

Funding

Training and OutreachP30GM124166 · NIGMS · CORNELL UNIVERSITY · PI RICHARD A. CERIONE · 2019 to 2026
$28.3M
NIGMS NIH HHS P30 GM124166
6 · The paper itself

Abstract

Phycocyanin (PC), a key protein in the antenna-shaped light-harvesting system of algae, has been proven to be a competitive blue colorant and emulsifier suitable for the food industry. Controlled disassembly and denaturation allow converting PC from intact polymers to unfolded subunits to enhance its emulsifying capacity, which often comes at the cost of its blue color. We report here, that by increasing the concentration of urea, a common denaturant, stepwise disassembly, denaturation, and reorganization of PC from large and uneven particles into small and uniform particles (<10 nm) were achieved as visualized using transmission electron microscopy. Soluble and similarly sized aggregates, however, were found at high urea concentrations by polyacrylamide gel electrophoresis and size-exclusion chromatography. Size-exclusion chromatography was used in-line with a small-angle X-ray scattering system to characterize shape and tertiary structural changes in PC. As PC converged from a large and uneven structure to a smaller and homogeneous structure, the conformation changed from an intact globular to a denatured elongated state. Three modeling algorithms, DAMMIN, GASBOR, and DENSS, were used to compare and align with the already-solved crystal structures, achieving good fitting scores (

Indexed as

Interfacial propertyNatural blue colorantPhycocyaninProtein disassemblySmall-angle X-ray scattering

Identifiers

PMID42877943
PMCPMC13668278

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.